DocumentCode :
1754475
Title :
Contributing Factor Map: A Taxonomy of Influences on Human Performance and Health in Space
Author :
Mindock, Jennifer A. ; Klaus, David M.
Author_Institution :
Univ. of Colorado, Boulder, CO, USA
Volume :
44
Issue :
5
fYear :
2014
fDate :
Oct. 2014
Firstpage :
591
Lastpage :
602
Abstract :
The ability of crewmembers to perform critical functions during spacecraft operations is widely recognized as essential to mission success. This necessity motivates the characterization of factors influencing crewmember performance so that those with positive effects can be enhanced, and those with negative impacts can be minimized. Risk analysis techniques support such characterization, and whether qualitative or quantitative, they require a model of the system of interest. In human reliability analysis (HRA) applications, performance-shaping factors (PSFs) represent the model of the environment influencing human performance within a given scenario. Sets of PSFs in existing HRA methods are terrestrially based and, therefore, do not address additional factors relevant to spaceflight. This paper focuses on the development of a taxonomy, or qualitative model, of factors specific to spaceflight. The development as influenced by software and system modeling concepts and data availability constraints is discussed. A visual representation of the taxonomy, the contributing factor map (CFM), is also presented. We discuss current benefits resulting from the two contributions of the taxonomy and CFM. These include the existence of a set of PSFs specific to spaceflight, a framework for relating data at various levels of abstraction, and the CFM as a visual communication tool supporting horizontal and vertical integration across disciplines and throughout organizational structures. This paper includes an example application based on the risk of bone fracture in spaceflight. It also suggests follow-on applications of the CFM as a quantitative model framework and a “menu” of factors to consider in risk analysis and management activities.
Keywords :
aerospace biophysics; reliability; risk analysis; space research; space vehicles; HRA methods; contributing factor map; crewmembers; data availability constraints; human health; human performance; human reliability analysis; performance shaping factors; risk analysis; spacecraft operations; taxonomy; visual communication tool; Analytical models; Context; NASA; Taxonomy; Unified modeling language; Visualization; Human health and performance; human reliability; performance-shaping factors (PSF); risk analysis and management; spaceflight; taxonomy;
fLanguage :
English
Journal_Title :
Human-Machine Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2168-2291
Type :
jour
DOI :
10.1109/THMS.2014.2328971
Filename :
6851879
Link To Document :
بازگشت